Top Data & Analytics Jobs in Pittsburgh, PA

As a Data Analyst, you'll analyze business requirements, model data, troubleshoot SQL, and support data definitions while working with internal teams.

As a Senior Associate in the Pricing team, you will design and integrate pricing applications, mentor junior associates, and ensure project quality while engaging with clients in complex revenue management scenarios.

Lead data engineering and governance, architecting solutions, managing complex ETL projects, and overseeing application performance across multiple projects while mentoring teams and defining standards.

The role involves architecting data solutions, managing ETL projects, leading data governance, mentoring teams, and overseeing complex IT initiatives.

The People Data Analyst analyzes people and talent acquisition data to support HR initiatives, designs dashboards, and collaborates cross-functionally.

This role involves supporting data management and reporting needs, analyzing requirements, and working with business users to enhance data processes and solutions.

The Product Analyst at Inovalon conducts market research, analyzes data, provides product enhancement recommendations, and collaborates with cross-functional teams to improve product profitability.

The Business Analyst leads requirements management and testing for technology delivery, ensuring traceability, compliance, and effective communication among stakeholders while addressing project risks and issues.

The Senior Manager will lead data analytics and pricing strategies in CAD, improving data processes, analytical workflows, and decision-making capabilities while managing a high-performing analytics team and collaborating with various stakeholders.

The Senior Vice President of People Metrics and Analytics will drive organizational insights by analyzing employee data, leveraging AI methodologies, and collaborating with teams to enhance workforce engagement and effectiveness.

The Quantitative Analyst II develops complex financial models for product lifecycle management, utilizes programming languages for data analysis, and collaborates with stakeholders to improve financial strategies and compliance.